Hoog Antink, Christoph ; Schulz, Romina ; Rohr, Maurice ; Wenzel, Konstantin ; Liebermeister, Lars ; Kohlhaas, Robert ; Preu, Sascha (2023)
Estimating Thoracic Movement with High-Sampling Rate THz Technology.
In: Sensors, 2023, 23 (11)
doi: 10.26083/tuprints-00024095
Article, Secondary publication, Publisher's Version
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| Item Type: | Article |
|---|---|
| Type of entry: | Secondary publication |
| Title: | Estimating Thoracic Movement with High-Sampling Rate THz Technology |
| Language: | English |
| Date: | 19 June 2023 |
| Place of Publication: | Darmstadt |
| Year of primary publication: | 2023 |
| Publisher: | MDPI |
| Journal or Publication Title: | Sensors |
| Volume of the journal: | 23 |
| Issue Number: | 11 |
| Collation: | 10 Seiten |
| DOI: | 10.26083/tuprints-00024095 |
| Corresponding Links: | |
| Origin: | Secondary publication DeepGreen |
| Abstract: | We use a high-sampling rate terahertz (THz) homodyne spectroscopy system to estimate thoracic movement from healthy subjects performing breathing at different frequencies. The THz system provides both the amplitude and phase of the THz wave. From the raw phase information, a motion signal is estimated. An electrocardiogram (ECG) signal is recorded with a polar chest strap to obtain ECG-derived respiration information. While the ECG showed sub-optimal performance for the purpose and only provided usable information for some subjects, the signal derived from the THz system showed good agreement with the measurement protocol. Over all the subjects, a root mean square estimation error of 1.40 BPM is obtained. |
| Uncontrolled Keywords: | unobtrusive sensing, terahertz, photonic, respiratory rate |
| Status: | Publisher's Version |
| URN: | urn:nbn:de:tuda-tuprints-240950 |
| Additional Information: | This article belongs to the Special Issue Sensors and IoT in Modern Healthcare Delivery and Applications |
| Classification DDC: | 600 Technology, medicine, applied sciences > 610 Medicine and health 600 Technology, medicine, applied sciences > 621.3 Electrical engineering, electronics |
| Divisions: | 18 Department of Electrical Engineering and Information Technology > Artificial Intelligent Systems in Medicine (KISMED) 18 Department of Electrical Engineering and Information Technology > Institute for Microwave Engineering and Photonics (IMP) > Terahertz Devices and Systems |
| Date Deposited: | 19 Jun 2023 13:04 |
| Last Modified: | 05 Dec 2023 06:08 |
| SWORD Depositor: | Deep Green |
| URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/24095 |
| PPN: | 512001065 |
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